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NumPydata~15 mins

np.split() for dividing arrays in NumPy - Mini Project: Build & Apply

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Using np.split() to Divide Arrays
📖 Scenario: Imagine you have a list of daily temperatures for a week. You want to split this list into smaller parts to analyze each part separately.
🎯 Goal: You will create a NumPy array of temperatures, set a split index, use np.split() to divide the array, and then print the split parts.
📋 What You'll Learn
Create a NumPy array called temps with exact values: [22, 24, 19, 23, 25, 20, 21]
Create a variable called split_index with the value 3
Use np.split() with temps and [split_index] to split the array into two parts
Store the result in a variable called split_temps
Print the variable split_temps
💡 Why This Matters
🌍 Real World
Splitting data arrays helps analyze different sections separately, like dividing weekly sales data into weekdays and weekends.
💼 Career
Data scientists often split datasets to prepare for analysis, testing, or training machine learning models.
Progress0 / 4 steps
1
Create the NumPy array of temperatures
Import NumPy as np and create a NumPy array called temps with these exact values: [22, 24, 19, 23, 25, 20, 21]
NumPy
Need a hint?

Use np.array() to create the array with the exact list inside.

2
Set the split index
Create a variable called split_index and set it to the integer 3
NumPy
Need a hint?

Just assign the number 3 to the variable split_index.

3
Split the array using np.split()
Use np.split() with the array temps and the list [split_index] to split the array into two parts. Store the result in a variable called split_temps
NumPy
Need a hint?

Call np.split() with the array and a list containing split_index.

4
Print the split arrays
Print the variable split_temps to see the two parts of the array after splitting
NumPy
Need a hint?

Use print(split_temps) to display the result.